Joaquin Delgado Fernandez
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| Department | FINATRAX | ||||
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Université du Luxembourg 29, avenue JF Kennedy L-1855 Luxembourg |
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| Büroadresse | JFK Building, E02-228 | ||||
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| Telefon | (+352) 46 66 44 5086 | ||||
Joaquín Delgado Fernandez received his Master’s degree in Artificial Intelligence from the International University of La Rioja (Spain). His area of expertise is in distributed computing using advanced machine-learning applications. In his early career, He focused first on the private sector to acquire first-hand experience with real machine-learning applications. At a later stage, during my doctorate, He expanded his focus into developing solutions to evaluate sensitive machine-learning applications based on his previous experience in the private sector. In other words, the analysis of distributed multi-party computation systems (federated learning) in conjunction with privacy-preserving techniques, such as differential privacy or secure aggregation. His two main areas of research applications are in the energy sector (load forecasting) and in the financial sector (credit risk assessment).
Last updated on: Freitag, den 10. Februar 2023
2023
Federated Learning for Credit Risk Assessment; ; ; ;
in Proceedings of the 56th Hawaii International Conference on System Sciences (2023, January 03)
Federated Learning as a Solution for Problems Related to Intergovernmental Data Sharing; ; ;
in Proceedings of the 56th Hawaii International Conference on System Sciences (2023, January 03)
2022
Agent-based Model of Initial Token Allocations: Evaluating Wealth Concentration in Fair Launches; ;
E-print/Working paper (2022)
Privacy-preserving federated learning for residential short-term load forecasting; ; ; ;
in Applied Energy (2022), 326
